@@ -77,7 +77,7 @@ Contains the clustering results. Clustering is performed on all nodes inside one
```GET https://articonf1.itec.aau.at:30103/api/use-cases/{use_case}/tables/{table}/layers/{layer_name}/clusters``` returns the identified clusters.
```GET https://articonf1.itec.aau.at:30103/api/use-cases/{use_case}/tables/{table}/layers/{layer_name}/timeslices``` returns the identified clusters partitioned based on their nodes' timestamps.
```GET https://articonf1.itec.aau.at:30103/api/use-cases/{use_case}/tables/{table}/layers/{layer_name}/timeslices``` returns the identified clusters partitioned based on their nodes' [timestamps](schema_information.md#time-slices).
## RunId
When a similarity computation is executed, it has an associated RunId which is used to uniquely identify that execution.
...
...
@@ -97,7 +97,8 @@ Intermediary data-structure used only by the function which computes the similar
# Proactive Community Detection Microservice
https://articonf1.itec.aau.at:30105/api/ui/
This microservice contains predictions of the cluster sizes from the clusters in [role stage discovery microservice](https://articonf1.itec.aau.at:30103/api/ui/#!/Clusters/routes_clustersets_get_by_name) for the week following the latest data in SMART.
This microservice contains predictions of the cluster sizes from the clusters in [role stage discovery microservice](https://articonf1.itec.aau.at:30103/api/ui/#!/Clusters/routes_clustersets_get_by_name) for the week following the latest data in SMART. The timestamps used for temporal devision are documented [here](schema_information.md#time-slices).
Example: Layer $L$ contains 3 clusters with sizes 3, 0, 7 in the most recent week $t$. SMART predicts the sizes in the following week $t+1$ as 5, 0, 6 based on each cluster's structural changes over the last $N=3$ weeks, i.e. $t,\ t-1,\ t-2$.
